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Mathematical Finance | Mark H. a. Davis - Oxford University Press


Mathematical Finance | Mark H. a. Davis
55 Lei

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(06-07-2024)
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In recent years the Finance industry has mushroomed to become an important part of modern economies, and many science and engineering graduates have joined the industry as quantitative analysts, with Mathematical and computational skills that are needed to solve complex problems of asset valuation and risk management.
Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable..
These pocket-sized books are the perfect way to get ahead in a new subject quickly.
ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area.
He concludes with a survey of the most pressing issues in Mathematical Finance today.
Illuminating pricing theory, Mark Davis explains its applications to interest rates, credit trading, fund management and risk management.
This Very Short Introduction introduces readers with no previous background in this area to arbitrage theory and why it works the way it does.
Now new challenges arise to deal with the fallout from the 2008 financial crisis and to take advantage of new technology, which has revolutionized the practice of trading.
The growth of the Finance industry proceeded hand-in-hand with these developments.
Between 1965-1995, insightful ideas in economics about asset valuation were turned into a Mathematical \'theory of arbitrage\', an enterprise whose first achievement was the famous 1973 Black-Scholes formula, followed by extensive investigations using all the resources of modern analysis and probability.
An important parallel story exists of scientific endeavour.
In recent years the Finance industry has mushroomed to become an important part of modern economies, and many science and engineering graduates have joined the industry as quantitative analysts, with Mathematical and computational skills that are needed to solve complex problems of asset valuation and risk management


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